Ding Ma Email & Phone Number

Chicago, Il, Us

Easton, Pa, Us

•Queried stock data with Sqlite3 package; preprocessed market data by masking abnormal stocks data, pivoting and aligning datasets, and forward filling missing values using pandas and Jupyter Notebook; Visualized result with matplotlib and seaborn.•Designed, packaged/scripted, documented, and visualized back testing for momentum factors using python.•Measured portfolio performance using relative and cumulative returns, Sharpe ratio, and IC/ICIR values of each group; Conductedfactor neutralization with linear regression to decrease portfolio volatility with scikit-learn.•Researched and engineered new features for multi-factor predictive models, using PyTorch to implement RNN (LSTM) architecture, resulting in a 10% increase in IC for the factors.

Easton, Pennsylvania, United States

•Utilized Agent Based Modeling to simulate oligopolistic competition, specifically focusing on the dynamics within industries like the automobile sector during the 1990s, enabled experiment data collection at low-to-no cost.•Conducted literature review and examined models’ assumptions of previous market models (Hotelling model, Salops’ circular city, BLP model); Incorporated differentiated product and dynamic strategies concepts to relax the assumption in the previous model. •Implemented File I/O via Python to handle simulation (10+times) data generated from a modified Hotelling’s model with PyNetlogo package.•Researched and pitched python packages including TensorFlow for Deep Reinforcement learning to the research team for future academic research.

Beijing, China

•Architected a new pilot MySQL relational data warehouse to store and analyze 100k+ rows of livestream viewership and transaction data and optimized query by using EXPLAIN for analysis, resulting in reduction in query speed by approximately 3 hours/query. •Gathered and discussed database design requirements with various cross-functional partners such as product managers or product operation analysts to enable real-time analytics capability.•Contributed to Tiktok’s livestream creator product metrics definition through generating various summary statistics via querying the database, enabling more livestream revenue data insights for creators.•Contributed to A/B testing on defining primary and secondary metrics, randomization unit assignment, and result interpretation for a streaming boost option to increase revenue.

Hong Kong Sar, China

• Studied the entire life cycle of pre-IPO equity investment and primarily participated in pre-IPO investmentresearch for the semiconductor equipment and renewable energy industries (primarily in the Asia-Pacificregion).• Created analysis report on submarket metrics, including product specifications, competitive landscape, marketdynamics, and financial statements.• Summarized interviews of target companies’ management teams, competitors, suppliers and customers, andexternal sources to verify and excavate additional information.

Beijing, China

• Conducted research into the Chinese IT industry, preparing reports and presentations for corporate clients toformulate their subsequent strategic decisions.• Performed a statistical analysis of IT hardware and software product shipments, turnover, upstream anddownstream industry, and gathered information into visualized charts.

Master Of Science - Ms, Applied Data Science

Bachelor'S Degree, Computer Science, Economics